Literature DB >> 25132526

Detecting local residue environment similarity for recognizing near-native structure models.

Hyungrae Kim1, Daisuke Kihara.   

Abstract

We developed a new representation of local amino acid environments in protein structures called the Side-chain Depth Environment (SDE). An SDE defines a local structural environment of a residue considering the coordinates and the depth of amino acids that locate in the vicinity of the side-chain centroid of the residue. SDEs are general enough that similar SDEs are found in protein structures with globally different folds. Using SDEs, we developed a procedure called PRESCO (Protein Residue Environment SCOre) for selecting native or near-native models from a pool of computational models. The procedure searches similar residue environments observed in a query model against a set of representative native protein structures to quantify how native-like SDEs in the model are. When benchmarked on commonly used computational model datasets, our PRESCO compared favorably with the other existing scoring functions in selecting native and near-native models.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  decoy selection; protein local structures; protein structure models; quality assessment; residue depth; residue environment

Mesh:

Substances:

Year:  2014        PMID: 25132526      PMCID: PMC4237674          DOI: 10.1002/prot.24658

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  64 in total

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Journal:  Protein Sci       Date:  1997-03       Impact factor: 6.725

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9.  PISCES: recent improvements to a PDB sequence culling server.

Authors:  Guoli Wang; Roland L Dunbrack
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

10.  TM-align: a protein structure alignment algorithm based on the TM-score.

Authors:  Yang Zhang; Jeffrey Skolnick
Journal:  Nucleic Acids Res       Date:  2005-04-22       Impact factor: 16.971

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  8 in total

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Authors:  Lenna X Peterson; Woong-Hee Shin; Hyungrae Kim; Daisuke Kihara
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2.  Protein docking model evaluation by 3D deep convolutional neural networks.

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5.  Protein structure prediction using residue- and fragment-environment potentials in CASP11.

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Journal:  Proteins       Date:  2015-09-22

6.  Protein Structure Refinement Using Multi-Objective Particle Swarm Optimization with Decomposition Strategy.

Authors:  Cheng-Peng Zhou; Di Wang; Xiaoyong Pan; Hong-Bin Shen
Journal:  Int J Mol Sci       Date:  2021-04-23       Impact factor: 5.923

7.  Protein structure, amino acid composition and sequence determine proteome vulnerability to oxidation-induced damage.

Authors:  Roger L Chang; Julian A Stanley; Matthew C Robinson; Joel W Sher; Zhanwen Li; Yujia A Chan; Ashton R Omdahl; Ruddy Wattiez; Adam Godzik; Sabine Matallana-Surget
Journal:  EMBO J       Date:  2020-10-19       Impact factor: 11.598

8.  Protein Docking Model Evaluation by Graph Neural Networks.

Authors:  Xiao Wang; Sean T Flannery; Daisuke Kihara
Journal:  Front Mol Biosci       Date:  2021-05-25
  8 in total

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